code: def classify_many(self, featuresets):
      return self._classify_many(featuresets, ["-p", "0"])
  
imports: import os
  import re
  import subprocess
  import tempfile
  import time
  import zipfile
  from sys import stdin
  from nltk.classify.api import ClassifierI
  from nltk.internals import config_java, java
  from nltk.probability import DictionaryProbDist
label_desc: Use image node_id 3 for calling the WekaClassifier obj's underlying member method code with example usage: obj.classify_many(featuresets) and returns: self